| Determination of wavefront attributes by differential evolution in the presence of conflicting dips J Walda, D Gajewski Geophysics 82 (4), V229-V239, 2017 | 33 | 2017 |
| A competitive comparison of multiparameter stacking operators J Walda, B Schwarz, D Gajewski Geophysics 82 (4), V275-V283, 2017 | 22 | 2017 |
| Waveform-based microseismic location using stochastic optimization algorithms: A parameter tuning workflow L Li, J Tan, Y Xie, Y Tan, J Walda, Z Zhao, D Gajewski Computers & geosciences 124, 115-127, 2019 | 17 | 2019 |
| Categorizing and correlating diffractivity attributes with seismic-reflection attributes using autoencoder networks S Dell, J Walda, A Hoelker, D Gajewski Geophysics 85 (4), O59-O70, 2020 | 13 | 2020 |
| Common-reflection-surface stack improvement by differential evolution and conflicting dip processing J Walda, D Gajewski SEG International Exposition and Annual Meeting, SEG-2015-5910957, 2015 | 13 | 2015 |
| Wavefield decomposition for diffraction separation with convolutional neural networks A Bauer, J Walda, D Gajewski SEG International Exposition and Annual Meeting, D011S125R002, 2021 | 8 | 2021 |
| Determination of wavefront attributes by differential evolution in the presence of conflicting dips: Geophysics, 82 J Walda, D Gajewski V229–V239, 2017 | 5 | 2017 |
| Global optimization of the CRS operator using a genetic algorithm J Walda, D Gajewski 77th EAGE Conference and Exhibition 2015 2015 (1), 1-5, 2015 | 5 | 2015 |
| Imaging zero-offset 3-D P-cable data with CRS method M Glöckner, J Walda, S Dell, D Gajewski, J Karstens, D Kläschen, ... Geophysical Journal International 219 (3), 1876-1884, 2019 | 4 | 2019 |
| Challenges in velocity-model building with 3D P-cable data M Gloeckner, J Walda, D Gajewski, T Roth, D Klaeschen, C Berndt 81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019 | 3 | 2019 |
| Transfer learning seismic and GPR diffraction separation with a convolutional neural network A Bauer, J Walda, D Gajewski Second International Meeting for Applied Geoscience & Energy, 2887-2891, 2022 | 2 | 2022 |
| A self-attention enhanced encoder-decoder network for seismic data denoising S Knispel, J Walda, R Zehn, A Bauer, D Gajewski Second International Meeting for Applied Geoscience & Energy, 2922-2926, 2022 | 2 | 2022 |
| Wavefield decomposition for diffraction separation with a convolutional autoencoder for seismic and GPR data A Bauer, J Walda, D Gajewski 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | 2 | 2022 |
| Early stage noise removel using a convolutional autoencoder J Walda, D Gajewski 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 2 | 2021 |
| A Competitive Comparison of Multi-parameter Stacking Approaches J Walda, B Schwarz, D Gajewski 78th EAGE Exhibition and Conference 2016, 2016 | 2 | 2016 |
| Handling the Conflicting Dip Problem in the CRS/iCRS Methods J Walda, D Gajewski 77th EAGE Conference and Exhibition 2015 2015 (1), 1-5, 2015 | 2 | 2015 |
| Determination and application of wavefront attributes J Walda Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2016 | 1 | 2016 |
| Deep learning prediction of measured earthquake waveforms from synthetic data A Bauer, J Walda, C Hammer EGU24, 2024 | | 2024 |
| Signal Preservation while performing Seismic Denoising with Neural Networks R Zehn, K Zehn, E Schuenemann, J Walda 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | | 2023 |
| A Dual Attention Enhanced Encoder-Decoder Network for Seismic Data Denoising S Knispel, J Walda, R Zehn, D Gajewski 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | | 2023 |
Dirk GajewskiProfessor of Applied SeismicsE-mail megerősítve itt: uni-hamburg.de
